Jialin Song
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
13
Venues
11
Active years
2005–2025
Best venue rank
A*
Where they publish
Papers
13 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | EMNLP | Beyond Single Frames: Can LMMs Comprehend Implicit Narratives in Comic Strip? | Xiaochen Wang, Heming Xia, Jialin Song, Longyu Guan, Qingxiu Dong, Rui Li, Yixin Yang, Yifan Pu, Weiyao Luo, Yiru Wang, Xiangdi Meng, Wenjie Li, Zhifang Sui |
| 2025 | ICML | Nemotron-CORTEXA: Enhancing LLM Agents for Software Engineering Tasks via Improved Localization and Solution Diversity. | Atefeh Sohrabizadeh, Jialin Song, Mingjie Liu, Rajarshi Roy, Chankyu Lee, Jonathan Raiman, Bryan Catanzaro |
| 2025 | ICML | PDE-Controller: LLMs for Autoformalization and Reasoning of PDEs. | Mauricio Soroco, Jialin Song, Mengzhou Xia, Kye Emond, Weiran Sun, Wuyang Chen |
| 2024 | DAC | CircuitVAE: Efficient and Scalable Latent Circuit Optimization. | Jialin Song, Aidan M. Swope, Robert Kirby, Rajarshi Roy, Saad Godil, Jonathan Raiman, Bryan Catanzaro |
| 2024 | ICARCV | Tripartite Evolutionary Game Analysis of Proprietary Information-Based Value-added Service Strategies in Cloud Manufacturing Platforms. | Jialin Song, Hao Zhang, Jianfeng Lu, Pengze Zhu, Jianpeng Mao |
| 2023 | ICML | Learning Regions of Interest for Bayesian Optimization with Adaptive Level-Set Estimation. | Fengxue Zhang, Jialin Song, James C. Bowden, Alexander Ladd, Yisong Yue, Thomas Desautels, Yuxin Chen |
| 2022 | CPAIOR | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2021 | ICLR | Learning to Make Decisions via Submodular Regularization. | Ayya Alieva, Aiden Aceves, Jialin Song, Stephen Mayo, Yisong Yue, Yuxin Chen |
| 2021 | SoCS | Learning Pseudo-Backdoors for Mixed Integer Programs. | Aaron M. Ferber, Jialin Song, Bistra Dilkina, Yisong Yue |
| 2019 | AISTATS | A General Framework for Multi-fidelity Bayesian Optimization with Gaussian Processes. | Jialin Song, Yuxin Chen, Yisong Yue |
| 2019 | UAI | Co-training for Policy Learning. | Jialin Song, Ravi Lanka, Yisong Yue, Masahiro Ono |
| 2006 | MASCOTS | Modelling and Improving Group Communication in Server Operating Systems. | Michael Kwok, Tim Brecht, Martin Karsten, Jialin Song |
| 2005 | NOSSDAV | Efficient operating system support for group unicast. | Martin Karsten, Jialin Song, Michael Kwok, Tim Brecht |